Parallel computing : paradigms and applications

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書誌事項

Parallel computing : paradigms and applications

edited by Albert Y. Zomaya

International Thomson Computer Press, 1996

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内容説明・目次

内容説明

In recent years, parallel computing has become an important alternative to the serial model of computation, accelerating the development of more computing power and higher processing speed. Parallel computers, along with the reduction in cost and size of computer components, now present the computing world with a new opportunity to solve problems and develop applications for computationally intensive activities. This book provides a broad overview of the main research issues in the parallel computing community. The contributors, all internationally known, also discuss a range of applications that have been greatly influenced by this technology.

目次

  • Architectures
  • Developments in scalable MIMD architectures
  • Shared-memory multiprocessors - a cost-effective approach to high-performance parallel computing
  • The design and protyping of the PASM reconfigurable parallel processing system
  • Models and theoretical aspects
  • Assertional reasoning about dynamic systems
  • Structured parallel computation using categorical data types
  • Parallel computational geometry
  • Dependability modelling of parallel and distributed computers
  • Locality-based scheduling for shared-memory multiprocessors
  • Static scheduling of fine-grained programming constructs on distributed-memory machines
  • Reconfiguration and routing in interconnection networks using time division multiplexing
  • An L-loop bounding scheme of doacross loops on dynamic dataflow machines
  • Programming support and software tools
  • Software for parallel computing - a perspective
  • Visualization techniques for parallel debugging and performance tuning tools
  • PIPADS - a low cost real-time visualization tool DCompose: a tool for measuring data decomposition on distributed memory multiprocessors
  • Integrated PVM framework supports heterogeneous computing
  • Application domains
  • Opportunities for HPCC use in industry
  • Opportunity for a new software industry in HPCC
  • Load balancing, latency management and separation of concerns in a distributed virtual world
  • The problem characteristics and parallel discrete event simulatio
  • Optimization for multiprocessor/distributed databases: a statistical approach
  • Generalized parallelism for embedded vision applications
  • Parallel simulation of artificial neural networks
  • Parallelism and concurrency in real-time embedded systems: benchmarks for multibody system dynamics computations
  • Generating combinatorial objects on a linear array of processors.

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